Dispersed Storage Data Update Protocol Using Predictive Pointers

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Solution Overview

Problem

Current dispersed storage networks face inefficiencies in updating data revisions due to the need for extra write operations and increased I/O operations, which impact system performance and resource utilization.

Innovation Solution

The system employs different metadata references for old and new data revisions, allowing for a single write operation during the persist phase and subsequent deletion of the old reference, reducing the number of I/O operations and reclaimable data generated.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional data update protocol is used in dispersed storage network, then crash safety is guaranteed, but extra write operations and increased I/O operations occur which reduce system performance

Engineering Contradiction:
Improvecrash safetyVSAvoidsystem performance
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by writing new data to a new location and generating a new pointer before deleting the old pointer. This preliminary establishment of the new data reference ensures that if a crash occurs during the update process, the system can recover with the new data intact, while avoiding the need for extra write operations to maintain crash safety.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system discards the old pointer after successfully writing new data and generating a new pointer. By systematically discarding old references and recovering only the necessary new references, the system minimizes the number of write operations required while maintaining crash safety guarantees.

Inventive Principle:
Principle #34Discarding and recovering

2Reliability

If traditional data update protocol is used in dispersed storage network, then data integrity is maintained, but number of I/O operations increases which reduces resource utilization

Engineering Contradiction:
Improvedata integrityVSAvoidresource utilization
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system extracts only the essential write operations needed to maintain data integrity. By separating the critical integrity-maintaining writes from non-essential operations, the system performs only the minimum necessary I/O operations (writing new data once and deleting old pointers) while still guaranteeing data integrity through the persistent storage of new data references.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the update protocol parameters by eliminating redundant write operations. Instead of performing multiple writes to ensure integrity, the system uses a single write operation combined with selective pointer deletion, changing the operational parameters to reduce I/O overhead while maintaining integrity through the structured update process.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If traditional data update protocol is used in dispersed storage network, then crash safety is ensured, but extra write operations are performed which increase system complexity

Engineering Contradiction:
Improvecrash safetyVSAvoidprotocol complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by establishing new data references before removing old ones. This preliminary establishment simplifies the protocol logic by ensuring that crash safety is achieved through the order of operations rather than through complex redundant write mechanisms, thereby reducing protocol complexity while maintaining reliability.

Inventive Principle:
Principle #10Preliminary action

4Reliability

If traditional data update protocol is used in dispersed storage network, then data consistency is maintained, but number of write operations increases which reduces throughput

Engineering Contradiction:
Improvedata consistencyVSAvoidthroughput
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system discards old data references and recovers only the essential new references. This selective discarding and recovering approach maintains data consistency by ensuring new data is properly established before old data is removed, while significantly reducing the number of write operations required, thereby improving throughput.

Inventive Principle:
Principle #34Discarding and recovering

Data Source

PatentUS11593026B2Zone storage optimization using predictive protocol patterns
Publication Date: 2023.02.28 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US11593026B2 patent drawing
  • US11593026B2 patent drawing
  • US11593026B2 patent drawing

AI summary

A method includes: receiving, by a computing device, data for storage in a dispersed storage network; writing, by the computing device, the data to a first location; generating, by the computing device, a first pointer to the first location; receiving, by the computing device, updated data that is an updated version of the data; writing, by the computing device, the updated data to a second location; generating, by the computing device, a second pointer to the second location; and deleting, by the computing device, the first pointer at a time after writing the updated data and generating the second pointer.